11 to 20 of 274 Results
Mar 26, 2025
Matesan, Ioana Emy, 2025, "Replication Data for: Empowering Students to Have Difficult Conversations", https://doi.org/10.7910/DVN/0DZPU4, Harvard Dataverse, V1
Classroom discussions of current events and controversial topics can devolve into unproductive and highly charged debates. This article describes an in-class exercise used to foster respect during difficult conversations, by encouraging students to design rules for discussions and guidelines for creating a safe space for dialogue. This activity rel... |
Erfort, Cornelius; Stoetzer, Lukas F.; Gschwend, Thomas; Koch, Elias; Munzert, Simon; Rajski, Hannah, 2025, "Replication Data for: The Zweitstimme Forecast for the German Federal Election 2025: Coalition Majorities and Vacant Districts", https://doi.org/10.7910/DVN/KPFYDD, Harvard Dataverse, V1, UNF:6:NDAkNfbJzhSUzxe1oj5fLQ== [fileUNF]
In this article, we provide a forecast for the German Federal Election of 2025. We use our previous forecasting models to provide national-level forecasts for party vote shares and district-level outcomes for candidate votes. We show that the combination of both permits us to calculate both forecasts for coalition majorities in parliament, and "vac... |
Mar 14, 2025
Teigen, Jeremy; Lupton, Danielle L., 2025, "Replication Data for: Base Assumptions", https://doi.org/10.7910/DVN/E45XY5, Harvard Dataverse, V1, UNF:6:dMPYye/x7UprS49gykqW0A== [fileUNF]
Replication "xxx.do" files for Stata and data |
Mar 3, 2025
Camatarri, Stefano, 2025, "Replication Data for: Predicting Popular Vote Shares in US Presidential Elections: a Model-Based Strategy Relying on ANES Data", https://doi.org/10.7910/DVN/RTTI71, Harvard Dataverse, V1, UNF:6:6M3BXxJFdq5DrpNk7i98ZQ== [fileUNF]
These replication data include a readapted version of the 2012, 2016, and 2020 ANES Time Series Studies, containing only the variables relevant to the analysis performed in the study "Predicting Popular Vote Shares in US Presidential Elections: a Model-Based Strategy Relying on ANES Data", published as part of the Special Issue on Forecasting the 2... |
Mar 3, 2025
Bastiaens, Ida, 2025, "Democracies Still in Peril: Reexamining Revenue Mobilization in Liberalizing Developing Economies", https://doi.org/10.7910/DVN/HKP2PT, Harvard Dataverse, V1, UNF:6:kXJdAJku/JhuGbCnVtQ3MQ== [fileUNF]
Do developing country democracies continue to struggle with revenue loss post-trade liberalization? This article revisits the evidence presented in Democracies in Peril and confirms that, despite critiques suggesting otherwise, a substantial revenue shock persists following tariff reductions, and democracies in less developed countries (LDCs) remai... |
Feb 27, 2025
DeSart, Jay, 2025, "Replication Data for: Long-Range State-Level 2024 Presidential Election Forecast: How Can You Forecast an Election When You Don’t Know Who the Candidates Are Yet?", https://doi.org/10.7910/DVN/HZGLY9, Harvard Dataverse, V1, UNF:6:4wmTbjAXbALeFh1ehvwgjg== [fileUNF]
Data files to replicate all the results presented in DeSart (2025): "Long-Range State-Level 2024 Presidential Election Forecast: How Can You Forecast an Election When You Don’t Know Who the Candidates Are Yet?" in PS: Political Science and Politics |
Feb 19, 2025
Proctor, Andrew; Camille Cypher; Scarlett Akeley; Morgana Warner-Evans, 2025, "Replication Data for: The Representation of LGBTQ+ People in the US Labor Movement", https://doi.org/10.7910/DVN/U6PRKJ, Harvard Dataverse, V1, UNF:6:2REQEkBOjZEAIjxTqDtUdQ== [fileUNF]
This dataset includes a codebook, replication data and code for recreating figures and calculating frequencies presented in the manuscript. |
Feb 14, 2025 - Harvard Dataverse
Keener, Robert, 2025, "Replication Data for: More A Than I", https://doi.org/10.7910/DVN/ZIB5NN, Harvard Dataverse, V1
This article shows how the sudden introduction of Large Language Models (LLMs) has left a sudden, significant, impact on the ability of political science professionals to plagiarize their articles by prompting LLMs to write for them. Evidence of this is shown through a brief overview of the limitations of LLMs, and by searching for words disproport... |
Feb 13, 2025
Dzebo, Semir; Jenne, Erin K.; Littvay, Levente, 2025, "Replication Data for: “My Own Private Idaho”: A Survey of Separatist Attitudes in the Pacific Northwest", https://doi.org/10.7910/DVN/LH6ZIN, Harvard Dataverse, V1, UNF:6:r4SFJsVi3enDUZNjTKBHZA== [fileUNF]
Over the past four years, thirteen counties in Eastern Oregon have voted in non-binding referenda to separate from the Democratic state of Oregon to join the Republican state of Idaho. Drawing on theories of secessionism and irredentism, we examine the drivers of the so-called Greater Idaho movement by administering a survey in the separatist count... |
Feb 12, 2025
Algara, Carlos, 2025, "Replication Data for: Forecasting Partisan Collective Accountability During the 2024 U.S. Presidential & Congressional Elections", https://doi.org/10.7910/DVN/9ZWATQ, Harvard Dataverse, V1, UNF:6:YH7lZZdUvKKQpWEoePMW3g== [fileUNF]
This article considers both presidential approval and party brand differentials, as measured by the generic ballot, to forecast the 2024 U.S. presidential and congressional elections. While both variables are leveraged to forecast collective partisan election outcomes, we consider the variables together as distinct determinants of partisan fortunes... |
